Blog Archive
Multi-Modal RAG for Video: Using Gemini 3 to Build Searchable 4K Video Knowledge Bases
Transcription-only video search throws away the pixels. Learn to embed video natively with Gemini Embedding 2, chunk with overlap, truncate with Matryoshka, and return trimmed clips on a text match.
The "Browser-as-a-Tool" Pattern: How Gemini 3 Agents Navigate the Visual Web
Most valuable data lives behind a browser, not an API. Learn the browser-as-a-tool pattern: the three-layer architecture, DOM vs screenshot grounding, surface contracts, and sandboxing for Gemini 3 agents.
Agentic SEO: Preparing Content for Gemini 3's Multimodal Search Browsers
Search is becoming an AI operating system. Learn how to make your content discoverable, trustworthy, and actionable for Gemini 3 multimodal search agents.
The Self-Improving Codebase: Gemini 3 Agents that Refactor Based on Performance Logs
Self-improving agents edit their own harness based on mined execution traces. Learn the mine-propose-validate loop with Gemini 3 and strict regression gates.
Securing Agent Communications: Encryption Strategies for the Gemini 3 Mesh
Agent-to-agent communication is the new attack surface. Learn encryption strategies for the Gemini 3 mesh: AgentCards, mTLS, E2E payload encryption, and replay protection.
Collaborative Coding: Leading a Team of Autonomous Gemini 3 Junior Developers
The junior-developer rung has been digitized. Learn how to orchestrate, review, and govern a team of autonomous Gemini 3 coding agents in 2026.
The "Audit Log" Pattern: Forensic Analysis of Gemini 3 Reasoning Chains
Debugging agents means auditing reasoning, not stack traces. Build a tamper-evident audit log of Gemini 3 reasoning chains for forensics and compliance.
The Rise of Nano-3: Why Small Models are the New Standard for Mobile Intelligence
Gemini Nano v3 is the most capable on-device model Google has shipped. Learn why SLMs are the new mobile standard and how to build with AICore and ML Kit GenAI.
The Sub-Agent Pattern: Delegating to Specialized Gemini 3 Workers
Single-LLM workflows suffer context saturation. Learn the sub-agent pattern: coordinator plus specialized Gemini 3 workers with scoped context, routing, and model tiering.
Sustainable AI: Strategies for Token Efficiency in Long-Running Gemini 3 Loops
Agent loops compound token costs linearly with every turn. Learn six concrete strategies to cut token usage by up to 70% in long-running Gemini 3 agents.
Securing Local Agents: Sandboxing Gemini 3 Tool Execution for Enterprise Safety
A developer laptop holds years of credentials. Learn how to sandbox local Gemini 3 agent tool execution with hardened containers, gVisor, and microVMs.
AI Red Teaming for Gemini 3: Preventing Jailbreaks in Reasoning-Heavy Agents
Learn how autonomous reasoning models jailbreak other models at a 97% success rate, and how to red-team your own Gemini 3 agents with layered defenses.